CS1674/2074: Introduction to Computer Vision, Fall 2025

Location (class): SENSQ 5129
Class time: Tuesday and Thrusday, 2:30pm - 3:45pm
Instructor: Nils Murrugarra (email: nem177 AT pitt DOT edu; use “[CS 1674]” at the beginning of the subject line)
Instructor’s office hours: Tue 9:30-11:30 am and Th 4-5pm
Instructor’s office: SENSQ 5419
TA: Zhimeng Luo ( ZHL123 AT pitt DOT edu )
TA’s office hours: Wed 12-1pm @ IS 707, Th 4-6 pm @ zoom
Canvas: used for announcements and assignment submission

Schedule

Date	Chapter	Slides	Homework
08/26	Intro	Intro_course [pdf] [pptx]
08/28		Linear_algebra [pdf] [pptx]
09/02		Lab 1: Python tutorial	A1: Python on canvas
09/04	Low-level Vision	Intro_cv [pdf] [pptx] Filters and Texture [pdf] [pptx]
09/09		Filters and Texture Lab 2: Filters
09/11		Filters and Texture	A2: Filters on canvas
09/16		Features [pdf] [pptx] Lab 3: SIFT
09/18		Grouping [pdf] [pptx]	A3: SIFT on canvas
09/23	High-level Vision	Lab 4: K-means Intro to Recognition [pdf] [pptx]
09/25		Intro to Recognition Lab 5: SVM	A4: K-Means on canvas
09/30		Intro to Recognition Neural Networks [pdf] [pptx] Lab 6: Pytorch
10/02		Neural Networks	A5: SVM on canvas
10/07		Neural Networks
10/09		Exam 1 Review
10/14		Neural Networks Lab 7: Gradient Descent
10/16		Exam 1
10/21		Exam 1 Feedback
10/23		Convolutional Neural Networks [pdf] [pptx]	A6: CNNs on canvas
10/28		Convolutional Neural Networks Lab 9: CNN
10/30		Convolutional Neural Networks
11/04		Lab 10: Modern ConvNets Object Recognition and Image Segmentation [pdf] [pptx]
11/06		Object Recognition and Image Segmentation
11/11		Object Recognition and Image Segmentation Lab 11: Fine-Tuning Mask R-CNN	A7: Object Recognition and Zero-shot Learning
11/13		Sequential Data [pdf] [pptx]
11/18		Sequential Data Lab 12: Transformers
11/20		Generative Models [pdf] [pptx]	A8: GenAI on canvas
11/25		Thanksgiving: No Class
11/27		Thanksgiving: No Class
12/02		Generative Models Lab 13: GANs
12/04		Exam 2 Review
12/08		Exam 2 –> 12pm - 1:50pm @ SENSQ 5129